Abstract
In order to overcome the discontinuity of geographic elements during the digitization of scanned topographic maps, a color map segmentation algorithm, which is used to segment color maps into different layers based on linear element features, is proposed in this paper. Linear elements are regarded as the elementary units in this method. We use background removal, thinning, nodes disconnection, labeling and dilation to get the elementary units. Then the main color, which could accurately represent the color feature of linear element, is extracted for clustering on the basis of Fuzzy c-means algorithm. At last, disconnected nodes are merged into the corresponding layers to keep the continuity of the results. The experimental results show that the proposed algorithm outperforms other segmentation approaches that regarding pixels as the elementary units.
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Acknowledgments
The work was jointly supported by the National Natural Science Foundations of China under grant No. 61272280, 41271447, 61272195 and 61472302, the Program for New Century Excellent Talents in University (NCET-12-0919), the Fundamental Research Funds for the Central Universities under grant No. K5051203020, K5051303016, K5051303018, BDY081422, and K50513100006, the Creative Project of the Science and Technology State of xi’an under grant No. CXY1341(6), The State Key Laboratory of Geo-information Engineering under grant No. SKLGIE2014-M-4-4.
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Liu, T., Miao, Q., Xu, P. et al. Color topographical map segmentation Algorithm based on linear element features. Multimed Tools Appl 75, 5417–5438 (2016). https://doi.org/10.1007/s11042-015-2510-z
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DOI: https://doi.org/10.1007/s11042-015-2510-z